Autors: Mladenov, V. M., Yordanov, Y. E.
Title: Control of various robots through signals from the brain activity
Keywords: Baxter robot, Brain-computer interface, brainwaves, electroe

Abstract: The research of the brain and how it works is a hot topic and gaining popularity in recent years. Therefore, it is not surprising that more and more researchers, as well as young scientists, are interested in trying to connect different hardware with brain activity - mind-controlled cars, planes, robots. In this presentation, a brief overview of how to record and proceed with the brain activity signals will be given. Special attention will be done on the developed brain activity management system that can successfully control Baxter [1] and Nao v5 [2] robots. The system uses the Emotiv Epoc+ electroencephalograph [3] (EEG) to capture real-time brain activity. The hardware follows the International 10-20 Electrode Positioning System[4]. In order to achieve control with the mind, a user must create their own profile. This profile stores that user's specific personal brain activity data because each person has very unique brain activity. First, a neutral level of brain activity [5] must



    21st International Conference on Computer Systems and Technologies, CompSysTech 2020; Ruse, pp. 1-6, 2020, Bulgaria, Association for Computing Machinery, DOI 10.1145/3407982.3407983

    Вид: постер/презентация в международен форум, публикация в реферирано издание, индексирана в Scopus